• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1114-1135
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• 2018

A multiple classification system based on a new boosting technique has been approached utilizing different biometric traits, that is, color face, iris and eye along with fingerprints of right and left hands, handwriting, palm-print, gait (silhouettes) and wrist-vein for person authentication. The images of different biometric traits were taken from different standard databases such as FEI, UTIRIS, CASIA, IAM and CIE. This system is comprised of three different super-classifiers to individually perform person identification. The individual classifiers corresponding to each super-classifier in their turn identify different biometric features and their conclusions are integrated together in their respective super-classifiers. The decisions from individual super-classifiers are integrated together through a mega-super-classifier to perform the final conclusion using programming based boosting. The mega-super-classifier system using different super-classifiers in a compact form is more reliable than single classifier or even single super-classifier system. The system has been evaluated with accuracy, precision, recall and F-score metrics through holdout method and confusion matrix for each of the single classifiers, super-classifiers and finally the mega-super-classifier. The different performance evaluations are appreciable. Also the learning and the recognition time is fairly reasonable. Thereby making the system is efficient and effective.

• Environmental and Resource Economics Review
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• v.22 no.1
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• pp.3-29
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• 2013

The purpose of this study is to estimate consumer preferences on hybrid cars and electric cars by employing a choice experiment reflecting the various market conditions, such as different projected market shares of green vehicles and $CO_2$ emission regulations. Depending on different market scenarios, we examine as to which attribute and individual characteristic affect the preferences of potential consumers on green vehicles and further, forecast the potential market shares of green cars. The primary results, estimated by a conditional logit and panel probit models, indicate that sales price, fuel cost, maximum speed, emission of air pollutants, fuel economy, and distance between fuel stations can significantly affect consumer's choice of environment-friendly cars. The second finding is that the unique features of electric cars might better appeal to consumers as the market conditions for electric cars are improved. Third, education, age, and gender can significantly affect individual preferences. Finally, as the market conditions become more favorable toward green cars, the forecasted market shares of hybrid and electric vehicles will increase up to 67% and 14%.

• Journal of Broadcast Engineering
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• v.5 no.1
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• pp.41-49
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• 2000

In this paper, we propose a new method of indexing and searching based on object-specific features at different semantic levels for video retrieval. A moving trajectory model is used as an indexing key for accessing the individual object in the semantic level. By tracking individual objects with segmented data, we can generate motion trajectories and set model parameters using polynomial curve fitting. The proposed searching scheme supports various types of queries including query by example, query by sketch, and query on weighting parameters for event-based video retrieval. When retrieving the interested video clip, the system returns the best matching event in the similarity order.

• The Journal of Advanced Prosthodontics
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• v.6 no.1
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• pp.66-70
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• 2014

A dynamic impression is a functional impression that records the functional movement of the patient's own muscle and muscle attachment. This process reduces the number of random factors. This article describes a method for making a special tray using a dynamic impression concept that was made from provisional dentures used for implant healing. The individual tray is used to make a wash-impression to record the features of the mucosa in detail. The main advantage of this technique is that it provides a functional relationship of the implant components to the supporting tissues without overextension because provisional denture had been used for 2 months and the border length of individual tray was nearly the same as that of provisional denture. The delivery of the prosthesis constructed using this impression technique is time-saving because there is no need for border molding and there are fewer post-insertion appliance adjustments.

• Proceedings of the Safety Management and Science Conference
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• 2013.11a
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• pp.393-400
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• 2013

Globally, smart phones have been rapidly distributed, which has led to changes in people's life cycle. Most people who are under 60 are supposed to use smart phones. Additionally, as the ratio of people who are interested in physical exercise is increasing, some applications for smart phones can manage dividual's exercise with the web servers. However, most of them can only check how much individual works out and cannot compare other's body type and life environment. Moreover, users cannot share their own data with others. This paper proposed the system which can resolve those kinds of problems through data mining techniques. The suggested model will have ability to figure out the relation between body type and the amount of exercise, find out if his work is proper from the result of classification and can pick out the features which is common to people who have similar body type and the amount of workout by applying data mining techiques. This model also will be able to recommend the proper amount of workout to each individual in order that they keep good health state efficiently.

• Wind and Structures
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• v.25 no.3
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• pp.301-328
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• 2017

Multivariate fluctuating pressures acting on a 2:1 rectangular section (2-D) with dimensions of 9 cm by 4.5 cm has been studied using wind tunnel experiments under uniform and smooth flow condition for various angles of wind incidence. Based on the variation of mean pressure coefficient distributions along the circumference of the rectangular section with angle of wind incidence, and with the aid of skin friction coefficients, three distinct flow regimes with two transition regimes have been identified. Further, variations of mean drag and lift coefficients, Strouhal number with angles of wind incidence have been studied. The applicability of Universal Strouhal number based on vortex street similarity of wakes in bluff bodies to the 2:1 rectangular section has been studied for different angles of wind incidence. The spatio-temporal correlation features of the measured pressure data have been studied using Proper Orthogonal Decomposition (POD) technique. The contribution of individual POD modes to the aerodynamic force components, viz, drag and lift, have been studied. It has been demonstrated that individual POD modes can be associated to different physical phenomena, which contribute to the overall aerodynamic forces.

• Journal of Fisheries and Marine Sciences Education
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• v.17 no.3
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• pp.390-403
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• 2005

Bullying behavior problems among middle school students have been increasing and being severe social problem. Therefore, on the basis of ecosystematic perspective, this study proposed the psychosocial factors that have various subsystems, such as individual level, family level, school level. Purposes of this study are to grasp the actual conditions of bulling and to examine psychosocial factors affecting bullying behavior of middle school students. For this study, surveyed were those 354 students who indicated they experienced bullying. The findings are as follows: Firstly, 49.2% of surveyed youth has the bullying offending experience. In detail, 26.7% of the bullies is estrangement from relations, 41.9% is verbal teasing, 18.2% is physical teasing. Secondly, the most important psychosocial factors to influence bullying behavior has been found the factors from the school. In the next place, from the individual. The prior factors that have relative influencing power on the bullying behavior are in order as follows- experience as victims of bullying and witness to bullying, aggression, peer group's exposure to delinquency, emotional unrest among sub-type borderline features, self-esteem, peer aggregation, a marital discord.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.22 no.1
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• pp.32-41
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• 2012

Objectives: Information of chemical in electronics industry has not been known enough, although workers' health hazards by chemicals in this industry have been regarded serious. The who always contribute to reveal and control the health hazards and risks in electronics industry have not been the industry but the occupational or environmental victims and grassroot organizations. The similar phenomena can be observed in Korea. Methods: The experiences of individual workers on the occuapational safety and health in semiconductor factory were heard separately and integrated with related literatures. Results:: The first part of this article is largely based on the memories and experiences of individual workers of semiconductor factories, mainly from S semiconductor. Common features of those experiences can be a good resource for detail understanding of the workplace, especially under the situation without any transparent disclosure of information by the governments or the companies. The second part of this article deals with several factors to be considered for control of exposure in workplace; characteristics of workplace and workforce, types of chemicals used, and the way of using the chemicals. Then the current social issues on work-relatedness of cancers of S semiconductor workers are presented briefly. Conclusions: As a conclusion, current OSH situations and issues in Korean electronics industry raise the need of changes in OSH culture. General adaptation of precautionary principle, internalization of costs, and extended responsibility of producers are needed urgently. The OSH professionals both in public and private sectors should support these agendas under their social obligation to protect workers' health.

• Molecules and Cells
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• v.44 no.3
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• pp.127-135
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• 2021

Since the introduction of RNA sequencing (RNA-seq) as a high-throughput mRNA expression analysis tool, this procedure has been increasingly implemented to identify cell-level transcriptome changes in a myriad of model systems. However, early methods processed cell samples in bulk, and therefore the unique transcriptomic patterns of individual cells would be lost due to data averaging. Nonetheless, the recent and continuous development of new single-cell RNA sequencing (scRNA-seq) toolkits has enabled researchers to compare transcriptomes at a single-cell resolution, thus facilitating the analysis of individual cellular features and a deeper understanding of cellular functions. Nonetheless, the rapid evolution of high throughput single-cell "omics" tools has created the need for effective hypothesis verification strategies. Particularly, this issue could be addressed by coupling cell engineering techniques with single-cell sequencing. This approach has been successfully employed to gain further insights into disease pathogenesis and the dynamics of differentiation trajectories. Therefore, this review will discuss the current status of cell engineering toolkits and their contributions to single-cell and genome-wide data collection and analyses.

• The Journal of Korean Medicine
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• v.42 no.1
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• pp.12-25
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• 2021

Objectives: The aim of this study was to investigate influencing factors of using Korean medicine services (KMS) using the 2017 Korean Medicine Utilization Survey (KMUS). Methods: Demographic statistics of the survey were summarized and influencing factors of the KMS experience and the intention to visit KMS were analyzed using logistic regression model with complex sample design. Influencing factors were specified based on Andersen's behavioral model of health care utilization and factors associated with individual recognitions of KMS. Additionally, using the ordinary logistic regression model without complex sample design, the survey data were analyzed to compare the results. Results: In the logistic regression analysis, sex, age, health condition, presence of chronic disease, a degree of knowledge about Korean Medicine, and a view about herbal medicine safety were statistically significant both in the KMS experience, and the intention to visit KMS. Marital status was statistically significant in the KMS experience, while family income, a view about the cost of KMS were statistically significant in the intention to visit KMS. Conclusion: Individual recognitions of KMS and enabling components should be considered when establishing KMS policies. In addition, future studies analyzing KMUS need to take into account the complex sample design features of the survey to avoid statistically misleading results.